Pasar al contenido principal

page search

Community Organizations Elsevier
Elsevier
Elsevier
Publishing Company

Location

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals.

All knowledge begins as uncommon—unrecognized, undervalued, and sometimes unaccepted. But with the right perspective, the uncommon can become the exceptional.

That’s why Elsevier is dedicated to making uncommon knowledge, common—through validation, integration, and connection. Between our carefully-curated information databases, smart social networks, intelligent search tools, and thousands of scholarly books and journals, we have a great responsibility and relentless passion for making information actionable.

Members:

Resources

Displaying 126 - 130 of 1605

Riverscapes downstream of hydropower dams: Effects of altered flows and historical land-use change

Journal Articles & Books
Diciembre, 2016
Portugal

Dams strongly impair the fluvial environment by altering downstream flows. We analysed riverscapes downstream of three dams and hypothesized that different dam types in rivers with diverse history of land-use and land cover (LULC) change have significant riparian cover differences at diverse biogeomorphic units (banks, riverbanks, islands). We performed a temporal comparison using pre-dam (1965) and post-dam (2013) high-resolution airborne imagery. A new approach was devised to correct the spatial offset between historical and contemporary imagery.

On using landscape metrics for landscape similarity search

Journal Articles & Books
Diciembre, 2016

Landscape similarity search involves finding landscapes from among a large collection that are similar to a query landscape. An example of such collection is a large land cover map subdivided into a grid of smaller local landscapes, a query is a local landscape of interest, and the task is to find other local landscapes within a map which are perceptually similar to the query. Landscape search and the related task of pattern-based regionalization, requires a measure of similarity – a function which quantifies the level of likeness between two landscapes.

Long-Term Fire Effects on Native and Invasive Grasses in Protected Area Sagebrush Steppe

Journal Articles & Books
Diciembre, 2016
Estados Unidos de América

Following western settlement, fire was suppressed directly and indirectly by Euro-American land management practices. Currently, reintroduction of fire into sagebrush steppe systems may be desirable, but long-term fire effects are not well-known. In this 15-year study we used a generalized linear mixed modeling approach to analyze the response of native and invasive grass species to fire in an Artemisia tridentata subsp. wyomingensis (Wyoming big sagebrush) community in north-central Oregon, United States.

rapid and massive urban and industrial land expansions in China between 1990 and 2010: A CLUD-based analysis of their trajectories, patterns, and drivers

Journal Articles & Books
Diciembre, 2016
China

The past two decades saw rapid and massive urbanization and industrialization in China. Despite much research has been reportedly done at local and regional scales, little has been reported on the trajectories, patterns, and drivers of these two intertwining processes at the national level. This is mainly due to the fact that until recently, high resolution spatial data of land use and land cover change were not available at national level. The research reported in this paper aimed to fill this knowledge gap.

Performance of the Phytoplankton Index for Lakes (IPLAC): A multimetric phytoplankton index to assess the ecological status of water bodies in France

Journal Articles & Books
Diciembre, 2016
Francia

A new phytoplankton-based index was designed to respond to the Water Framework Directive (WFD) requirements concerning the assessment of lake ecological status. The “Indice Phytoplancton Lacustre” (IPLAC) is a multimetric index, taking into account biomass, abundance and species composition of communities. The first metric is based on the total phytoplankton biomass (MBA), the second on the abundance and taxonomic composition (MCS) of 165 indicator taxa. The IPLAC was developed on 2 independent databases, one for the calibration and the second for the validation of the metrics.